IDEAS home Printed from https://ideas.repec.org/a/rss/jnljfm/v2i1p1.html
   My bibliography  Save this article

Investment Portfolio Liquidity Risk Management

Author

Listed:
  • Michael Ha
  • Lihui Zheng
  • Danny Lo
  • Alexis Suen

Abstract

Liquidity risk of an investment portfolio refers to the risk associated with the loss of value in a trade transaction. When fund assets are liquidated, there is a certain level of loss in asset value due to price volatility. The price at which a trade is executed is not identically the same as that targetted by an asset owner. Investors are exposed to liquidity risk when they purchase or redeem their units or holdings. Liquidity risk depends on two factors: liquidity supply and liquidity demand. This paper is mainly on the measurement of liquidity risk of investment portfolios. Our research work uses a distribution function to measure the cumulative effect of liquidity of individual stocks.

Suggested Citation

  • Michael Ha & Lihui Zheng & Danny Lo & Alexis Suen, 2016. "Investment Portfolio Liquidity Risk Management," International Journal of Financial Markets, Research Academy of Social Sciences, vol. 2(1), pages 1-5.
    • Handle: RePEc:rss:jnljfm:v2i1p1
    as

    Download full text from publisher

    File URL: http://rassweb.org/admin/pages/ResearchPapers/Paper%201_1495829214.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Nanda, Vikram & Narayanan, M. P. & Warther, Vincent A., 2000. "Liquidity, investment ability, and mutual fund structure," Journal of Financial Economics, Elsevier, vol. 57(3), pages 417-443, September.
    2. Hisata, Yoshifumi & Yamai, Yasuhiro, 2000. "Research toward the Practical Application of Liquidity Risk Evaluation Methods," Monetary and Economic Studies, Institute for Monetary and Economic Studies, Bank of Japan, vol. 18(2), pages 83-127, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. World Bank, 2017. "Demystifying Forest Bonds," World Bank Publications - Reports 28587, The World Bank Group.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Nanda, Vikram K. & Wang, Z. Jay & Zheng, Lu, 2009. "The ABCs of mutual funds: On the introduction of multiple share classes," Journal of Financial Intermediation, Elsevier, vol. 18(3), pages 329-361, July.
    2. Agarwal, Vikas & Daniel, Naveen D. & Naik, Narayan Y., 2009. "Role of managerial incentives and discretion in hedge fund performance," CFR Working Papers 04-04, University of Cologne, Centre for Financial Research (CFR).
    3. St¨¦phane Chr¨¦tien & Manel Kammoun, 2019. "Mutual Fund Styles and Clientele-Specific Performance Evaluation," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 11(12), pages 1-89, December.
    4. Jank, Stephan & Wedow, Michael, 2015. "Sturm und Drang in money market funds: When money market funds cease to be narrow," Journal of Financial Stability, Elsevier, vol. 16(C), pages 59-70.
    5. Yoshikatsu Shinozawa, 2007. "The Effect of Organisational Form on Investment Products: an empirical analysis of the UK unit trust industry," Corporate Governance: An International Review, Wiley Blackwell, vol. 15(6), pages 1244-1259, November.
    6. Jonathan B. Berk & Richard C. Green, 2004. "Mutual Fund Flows and Performance in Rational Markets," Journal of Political Economy, University of Chicago Press, vol. 112(6), pages 1269-1295, December.
    7. Vincent Glode & Burton Hollifield & Marcin Kacperczyk & Shimon Kogan, 2016. "Is Investor Rationality Time Varying? Evidence from the Mutual Fund Industry," World Scientific Book Chapters, in: Itzhak Venezia (ed.), Behavioral Finance WHERE DO INVESTORS' BIASES COME FROM?, chapter 3, pages 67-113, World Scientific Publishing Co. Pte. Ltd..
    8. Mazin A.M. Al Janabi, 2011. "Modeling coherent trading risk parameters under illiquid market perspective," Studies in Economics and Finance, Emerald Group Publishing Limited, vol. 28(4), pages 301-320, October.
    9. Luca Erzegovesi, 2002. "VaR and Liquidity Risk.Impact on Market Behaviour and Measurement Issues," Alea Tech Reports 014, Department of Computer and Management Sciences, University of Trento, Italy, revised 14 Jun 2008.
    10. Witmer, Jonathan, 2016. "Does the buck stop here? A comparison of withdrawals from money market mutual funds with floating and constant share prices," Journal of Banking & Finance, Elsevier, vol. 66(C), pages 126-142.
    11. Ariadna Dumitrescu & Javier Gil-Bazo, 2015. "Familiarity and competition: the case of mutual funds," Economics Working Papers 1474, Department of Economics and Business, Universitat Pompeu Fabra.
    12. Gil-Bazo, Javier & Ruiz-Verdú, Pablo, 2008. "When cheaper is better: Fee determination in the market for equity mutual funds," Journal of Economic Behavior & Organization, Elsevier, vol. 67(3-4), pages 871-885, September.
    13. Kaniel, Ron & Starks, Laura T & Gallaher, Steven, 2015. "Advertising and Mutual Funds: From Families to Individual Funds," CEPR Discussion Papers 10329, C.E.P.R. Discussion Papers.
    14. Stange, Sebastian & Kaserer, Christoph, 2008. "Why and how to integrate liquidity risk into a VaR-framework," CEFS Working Paper Series 2008-10, Technische Universität München (TUM), Center for Entrepreneurial and Financial Studies (CEFS).
    15. Daniella Acker & Nigel W. Duck, 2006. "A Tournament Model of Fund Management," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 33(9‐10), pages 1460-1483, November.
    16. Massa, Massimo, 2003. "How do family strategies affect fund performance? When performance-maximization is not the only game in town," Journal of Financial Economics, Elsevier, vol. 67(2), pages 249-304, February.
    17. Molestina Vivar, Luis & Wedow, Michael & Weistroffer, Christian, 2023. "Burned by leverage? Flows and fragility in bond mutual funds," Journal of Empirical Finance, Elsevier, vol. 72(C), pages 354-380.
    18. Lang, Gunnar & Köhler, Matthias, 2011. "How does the domiciliation decision affect mutual fund fees?," ZEW Discussion Papers 11-085, ZEW - Leibniz Centre for European Economic Research.
    19. Onofrio Panzarino, 2023. "Investor behavior under market stress:evidence from the Italian sovereign bond market," Temi di discussione (Economic working papers) 33, Bank of Italy, Economic Research and International Relations Area.
    20. Franz Diboky & Jörg Finsinger, 2006. "Total Expense Ratio — eine empirische Untersuchung der Zusatzkosten von Investmentfonds," Schmalenbach Journal of Business Research, Springer, vol. 58(6), pages 710-729, September.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:rss:jnljfm:v2i1p1. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Danish Khalil (email available below). General contact details of provider: http://www.rassweb.org .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.